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Contact Details

Language Skills

Python
R
SQL
Bash
Docker
AWS/Cloud

Disclaimer

Made w/ pagedown.

Source code: github.com/shreyankpatil/ shreyank-cv.

Last updated on 2021-04-13.

Main

Shreyank Patil

I am a Data Scientist who is passionate about collecting, analysing and telling stories with data. I pride myself on my ability to combine technical fundamentals with domain knowledge to deliver exemplary results for customers.

I’m interested in roles in progressive, technology focused organisations.

Education

Master of Professional Studies in Data Science

University of Auckland

Auckland, NZ

2019

  • Graduated with First Class Honours
  • Thesis: A Study of Ticketing Prediction in the Events Industry
  • Research conducted in collaboration with Dexibit for partial fulfilment of Masters program
  • Conducted in-depth exploration of ticketing and events industry
  • Built machine learning models to predict ticketing sales
  • Presented findings to industry partner

Certificate of Proficiency, Data Science

University of Auckland

Auckland, NZ

2018

  • Fundamental courses in statistics and computer science

Bachelor of Engineering(Hons) in Mechanical Engineering

University of Auckland

Auckland, NZ

2016 - 2013

  • Honours Dissertation: Modelling and Control of Underwater Actuators for Floating Wind Turbines

Industry Experience

Data Scientist

Dexibit

Auckland, NZ

2021 - 2019

  • Dexibit is a SaaS company which offers big data analytics to visitor attractions around the world. The Dexibit product aims to help these visitor attractions predict and analyse visitor behaviour
  • Responsible for managing and running data science operational tasks for the product
  • Involved with improving forecast accuracy significantly across all customers
  • Aided in the research and development of insights for new product modules as well as leading customer validation conversations
  • Helped prototype and design a new simulation tool to help visitor attractions plan for COVID impact

Fellow

Good Data Institute

Auckland, NZ

2021

  • The Good Data Institute (GDI) is a non-profit organisation leveraging the skills of data and analytics professionals to help non profits
  • As a Fellow at GDI, I am responsible for leading and coordinating volunteering efforts on projects
  • Currently I have worked on projects with Inclusive America and Progressive Shopper

Data Scientist Intern

Dexibit

Auckland, NZ

2019 - 2018

  • Worked as part of Masters project to research and develop machine learning models to expand forecasting capabilities of organisation
  • Delivered bespoke forecasts to customers on request